Instructions to use Thibaut/route_background_semantic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thibaut/route_background_semantic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Thibaut/route_background_semantic")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Thibaut/route_background_semantic") model = SegformerForSemanticSegmentation.from_pretrained("Thibaut/route_background_semantic") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
runs/Apr03_14-14-32_algo-1/events.out.tfevents.1743689732.algo-1.68.0
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